Quality Guideline for Energy System Studies: Cost Estimation Methodology for NETL Assessments of Power Plant Performance

2011 ◽  
Author(s):  
John G. Wimer ◽  
Wm Morgan Summers
Keyword(s):  
Power Plant ◽  
Cost Estimation ◽  
Energy System ◽  
Plant Performance ◽  
Quality Guideline

Improving the OTEC Power Plant Performance by Metal Hydride Energy Systems

1997 ◽  
Vol 119 (2) ◽  
pp. 145-151 ◽  
Author(s):  
M. Gambini
Keyword(s):  
Power Plant ◽  
Metal Hydride ◽  
Performance Optimization ◽  
Energy System ◽  
Point Of View ◽  
Plant Performance ◽  
Working Fluid ◽  
Fluid Temperature ◽  
Thermal Energy Conversion ◽  
Ocean Thermal Energy

A new system to improve the present OTEC (ocean thermal energy conversion) power plant performance is here presented. This is a metal hydride energy system operating as a “temperature upgrading” device which allows an increase of the OTEC plant working fluid temperature at the turbine inlet. The integrated MHTUP (metal hydride temperature upgrading)—OTEC plant has been investigated, taking into account the dynamic operations of MHTUP system and the OTEC pumping power increase due to the water circulation in the MHTUP system. The results show an increase in the OTEC net power of about 20 percent and the technological feasibility of the proposal. The large amounts of metal hydride and of heat transfer surface required by MHTUP system involve a critical situation from an economical point of view. The further analysis, particularly regarding the performance optimization and new plant arrangement of the MHTUP system, have to be developed in order to attain the economical feasibility of the proposal.

Gas Turbines Design and Off-Design Performance Analysis With Emissions Evaluation

2004 ◽  
Vol 126 (1) ◽  
pp. 83-91 ◽  
Author(s):  
A. Andreini ◽  
B. Facchini
Keyword(s):  
Power Plant ◽  
Gas Turbines ◽  
Chemical Reactor ◽  
Energy System ◽  
Pollutant Emissions ◽  
Plant Performance ◽  
Published Data ◽  
Emission Model ◽  
Simulation Code ◽  
Control Criteria

Many gas turbines simulation codes have been developed to estimate power plant performance both in design and off-design conditions in order to establish the adequate control criteria or the possible cycle improvements; estimation of pollutant emissions would be very important using these codes in order to determine the optimal performance satisfying legal emission restrictions. This paper present the description of a one-dimensional emission model to simulate different gas turbine combustor typologies, such as conventional diffusion flame combustors, dry-low NOx combustors (DLN) based on lean-premixed technology (LPC) or rich quench lean scheme (RQL) and the new catalytic combustors. This code is based on chemical reactor analysis, using detailed kinetics mechanisms, and it is integrated with an existing power plant simulation code (ESMS Energy System Modular Simulator) to analyze the effects of power plant operations and configurations on emissions. The main goal of this job is the study of the interaction between engine control and combustion system. This is a critical issue for all DLN combustors and, in particular, when burning low-LHV fuel. The objective of this study is to evaluate the effectiveness of different control criteria with regard to pollutant emissions and engine performances. In this paper we present several simulations of actual engines comparing the obtained results with the experimental published data.

Gas Turbines Design and Off-Design Performance Analysis With Emissions Evaluation

2002 ◽  
Author(s):  
Antonio Andreini ◽  
Bruno Facchini
Keyword(s):  
Power Plant ◽  
Gas Turbines ◽  
Chemical Reactor ◽  
Energy System ◽  
Pollutant Emissions ◽  
Plant Performance ◽  
Published Data ◽  
Emission Model ◽  
Simulation Code ◽  
Control Criteria

Many gas turbines simulation codes have been developed to estimate power plant performance both in design and off-design conditions in order to establish the adequate control criteria or the possible cycle improvements; estimation of pollutant emissions would be very important using these codes in order to determine the optimal performance satisfying legal emission restrictions. This paper present the description of a 1-D emission model to simulate different gas turbine combustor typologies, such as conventional diffusion flame combustors, Dry-Low NOx combustors (DLN) based on lean-premixed technology (LPC) or Rich Quench Lean scheme (RQL) and the new catalytic combustors. This code is based on chemical reactor analysis, using detailed kinetics mechanisms, and it is integrated with an existing power plant simulation code (ESMS Energy System Modular Simulator) to analyze the effects of power plant operations and configurations on emissions. The main goal of this job is the study of the interaction between engine control and combustion system. This is a critical issue for all DLN combustors and, in particular, when burning low-LHV fuel. The objective of this study is to evaluate the effectiveness of different control criteria with regard to pollutant emissions and engine performances. In this paper we present several simulations of actual engines comparing the obtained results with the experimental published data.

scholarly journals Data Driven Modelling of Nuclear Power Plant Performance Data as Finite State Machines

Modelling ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 43-62
Author(s):  
Kshirasagar Naik ◽  
Mahesh D. Pandey ◽  
Anannya Panda ◽  
Abdurhman Albasir ◽  
Kunal Taneja
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Finite State Machine ◽  
State Machine ◽  
Plant Performance ◽  
Series Data ◽  
Cyberphysical Systems ◽  
Finite State ◽  
Machine Representation

Accurate modelling and simulation of a nuclear power plant are important factors in the strategic planning and maintenance of the plant. Several nonlinearities and multivariable couplings are associated with real-world plants. Therefore, it is quite challenging to model such cyberphysical systems using conventional mathematical equations. A visual analytics approach which addresses these limitations and models both short term as well as long term behaviour of the system is introduced. Principal Component Analysis (PCA) followed by Linear Discriminant Analysis (LDA) is used to extract features from the data, k-means clustering is applied to label the data instances. Finite state machine representation formulated from the clustered data is then used to model the behaviour of cyberphysical systems using system states and state transitions. In this paper, the indicated methodology is deployed over time-series data collected from a nuclear power plant for nine years. It is observed that this approach of combining the machine learning principles with the finite state machine capabilities facilitates feature exploration, visual analysis, pattern discovery, and effective modelling of nuclear power plant data. In addition, finite state machine representation supports identification of normal and abnormal operation of the plant, thereby suggesting that the given approach captures the anomalous behaviour of the plant.

scholarly journals Defense against cyber-attacks on the Hydro Power Plant connected in parallel with Energy System

2020 ◽  
Author(s):  
Valeri Mladenov ◽  
Veselin Chobanov ◽  
Panagiotis Sarigiannidis ◽  
Panagiotis I. Radoglou-Grammatikis ◽  
Anton Hristov ◽  
...  
Keyword(s):  
Power Plant ◽  
Energy System ◽  
Cyber Attacks ◽  
Hydro Power
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